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Using statistical methods to model the fine-tuning of molecular machines and systems.
Journal of Theoretical Biology ( IF 1.9 ) Pub Date : 2020-06-04 , DOI: 10.1016/j.jtbi.2020.110352
Steinar Thorvaldsen 1 , Ola Hössjer 2
Affiliation  

Fine-tuning has received much attention in physics, and it states that the fundamental constants of physics are finely tuned to precise values for a rich chemistry and life permittance. It has not yet been applied in a broad manner to molecular biology. However, in this paper we argue that biological systems present fine-tuning at different levels, e.g. functional proteins, complex biochemical machines in living cells, and cellular networks. This paper describes molecular fine-tuning, how it can be used in biology, and how it challenges conventional Darwinian thinking. We also discuss the statistical methods underpinning fine-tuning and present a framework for such analysis.



中文翻译:

使用统计方法来建模分子机器和系统的微调。

微调已经在物理学中引起了广泛的关注,并且指出,微调的基本常数可以精确地调整为精确的值,从而具有丰富的化学作用和使用寿命。它尚未以广泛的方式应用于分子生物学。但是,在本文中,我们认为生物系统在不同水平上存在微调,例如功能蛋白,活细胞中复杂的生化机器以及细胞网络。本文介绍了分子微调,如何在生物学中使用以及如何挑战传统的达尔文主义思维。我们还将讨论作为微调基础的统计方法,并提出进行此类分析的框架。

更新日期:2020-06-04
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